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Learn About Statistical Analysis For Marketing Research

We've grouped together all the information our site contains on Statistical Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 53 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: Marketplace segmentation by demographic characteristics
Researchers today have an abundance of information and sophisticated tools with which to work. Still, the best trained statisticians are not always clear how best to use these materials and methods. This article addresses geo-demographic clusters, which are marketed by their developers as the definitive answer to market-segmentation problems.
Add some strategy to your concept evaluation process
Assessing the prospects of a new product concept takes more than a cookie-cutter approach. Each concept requires its own set of strategies for how it will be presented to consumers in testing and a careful analysis of how the new idea fits corporate and brand objectives.
Risky business: How research can find the truth about respondents' bad behavior
Conducting research on topics that have social stigmas or expectations can yield inaccurate results, as respondents do not want to admit their own risky behaviors. Using the item-count method, researchers can correct for social desirability distortion.
Address-based sampling may provide alternatives for surveys that require contacts with representative samples of households
This article examines factors contributing to researchers’ increased interest in address-based sampling (ABS) and looks at the pros and cons of ABS. Against a backdrop of declining response rates, ABS appears to offer a convenient framework for effective design and implementation of surveys that employ multimode alternatives for data collection.
Data Use: Telling the future from the past: predictive versus classical statistics
This article compares and contrasts predictive and classical statistics, making the case that predictive methods offer an effective way to use current data to make statements about future data.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Mobile sample size: How much is enough?
Analysis of mobile consumer research uncovers what using a smaller sample size means to a study's statistical significance.
Satisfying stats: How numbers helped a diner optimize its menu
This article addresses the changing role of statistics in marketing research and uses menu optimization for the fictional Johnny's American Diner to demonstrate how numbers can tell an engaging and actionable story.
Analyzing a pharmaceutical product’s key drivers
The author explores the use of principal component analysis to examine wave-to-wave changes in a tracking study.
By the Numbers: The top five mistakes in marketing statistics
From asking too many questions to falling for the latest technique, here is a statistician’s take on marketers’ common statistics-related mistakes.
Modeling the drivers of Net Promoter Score
How driver analysis can help you determine which controllable factors have an effect on NPS and how much of an impact they have.

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